Criminal Investigation Tracker with Suspect Prediction |
Author(s): |
| Miss. Priyanka Vitthal More , Dr. J. J. Magdum College of Engineering, Jaysingpur. ; Sandhyarani G. Sonkamble, Dr. J. J. Magdum College of Engineering, Jaysingpur. ; Nayana J. Patil, Dr. J. J. Magdum College of Engineering, Jaysingpur. ; Krutika K. Kulkarni, Dr. J. J. Magdum College of Engineering, Jaysingpur. ; Dr. Chandrashekhar Shinde, Dr. J. J. Magdum College of Engineering, Jaysingpur. |
Keywords: |
| Criminal Investigation Tracker, KNN, Decision Tree |
Abstract |
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Crime is a violation against the humanity that is often accused and punishable by the law. Criminology is a study of crime and it is interdisciplinary sciences that collects and investigate data on crime and crime performance. The crime activities have been increased now-a-days and it is the responsibility of police department to control and reduce the crime activities. Crime prediction and criminal identification are the major problems to the police department as there are voluminous data of crime exist. So, we need methodologies to predict crime. Data Mining provides classification technique for this purpose. Classification in crime is mainly used to identify the patterns in crime and also used to predict the crime. Classification is a technique of data analysis that is used to extract and predicts future trends in data based on similarity measures. |
Other Details |
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Paper ID: IJSRDV7I90020 Published in: Volume : 7, Issue : 9 Publication Date: 01/12/2019 Page(s): 25-26 |
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